Methods › Computer Vision › Pose Estimation Models › Stacked Hourglass Network

Stacked Hourglass Network

28 papers tagged archive 2025-07-28

Introduced by Alejandro Newell et al. in Stacked Hourglass Networks for Human Pose Estimation

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Stacked Hourglass Networks are a type of convolutional neural network for pose estimation. They are based on the successive steps of pooling and upsampling that are done to produce a final set of predictions.

PaperSource

Papers archive 2025-07-28

28 shown of 28, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 45 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Object9
Object Detection9
object-detection9
Pose Estimation8
Decoder2
Multi-Person Pose Estimation2
Multi-Task Learning2
Segmentation2
Semantic Segmentation2
Stereo Matching2
Stereo Matching Hand2
2D Human Pose Estimation1
3D Human Pose Estimation1
3D Multi-Person Human Pose Estimation1
3D Multi-Person Pose Estimation1
3D Pose Estimation1
3D Volumetric Reconstruction1
Automatic Speech Recognition1
Automatic Speech Recognition (ASR)1
Autonomous Driving1

Usage over time archive 2025-07-28

Papers per year tagged with Stacked Hourglass Network: 2016 to 2023, peak 9 9 0 2016: 1 paper 2016 2017: 0 papers 2017 2018: 2 papers 2018 2019: 9 papers 2019 2020: 8 papers 2020 2021: 6 papers 2021 2022: 1 paper 2022 2023: 1 paper 2023
Papers per year the archive tags with this method, by the paper's archive date (28 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Pose Estimation Models

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